Ugur Yüzgeç
Orcid: 0000-0002-5364-6265
According to our database1,
Ugur Yüzgeç
authored at least 16 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Wirel. Pers. Commun., April, 2024
Meliorated Crab Mating Optimization Algorithms for Capacitated Vehicle Routing Problem.
SN Comput. Sci., January, 2024
2023
Neural Comput. Appl., September, 2023
Real-time driver fatigue detection system with deep learning on a low-cost embedded system.
Microprocess. Microsystems, June, 2023
Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting.
Knowl. Based Syst., 2023
Smart Meter Data-Driven Voltage Forecasting Model for a Real Distribution Network Based on SCO-MLP.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023
2022
A multi-strategy random weighted gray wolf optimizer-based multi-layer perceptron model for short-term wind speed forecasting.
Neural Comput. Appl., 2022
Advanced strategies on update mechanism of Sine Cosine Optimization Algorithm for feature selection in classification problems.
Eng. Appl. Artif. Intell., 2022
Comput. Sci. J. Moldova, 2022
2021
A Novel Approach to D2D Discovery in PSN for Post-Disaster: Throughput Based Discovery Algorithm (TDA).
Wirel. Pers. Commun., 2021
Future Gener. Comput. Syst., 2021
2020
Neural Comput. Appl., 2020
Deep Learning Based Continuous Real-Time Driver Fatigue Detection for Embedded System.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020
2019
Improved antlion optimization algorithm via tournament selection and its application to parallel machine scheduling.
Comput. Ind. Eng., 2019
2010
Refinery scheduling of crude oil unloading, storage and processing using a model predictive control strategy.
Comput. Chem. Eng., 2010
2008
Dynamic Neural-Network-Based Model-Predictive Control of an Industrial Baker's Yeast Drying Process.
IEEE Trans. Neural Networks, 2008